International Journal of Advancements in Technology
Open Access

Abstract

Data Warehouse Design to support Social Media Analysis: The case of Twitter and Facebook

Dr. Maha Ben Kraiem*, Dr. Jamel Feki, Dr. Franck Ravat

The past decade has witnessed a substantial increase in the generation and storage of data through social media platforms. As a result, the analysis and comprehension of this vast pool of data have become crucial for gaining valuable insights across various domains, aiding researchers and businesses in making well-informed decisions. However, the sheer volume of data, its diverse origins with distinct formats and the rapid rate of generation pose significant challenges. These characteristics collectively contribute to the complexity and resource-intensive nature of extracting knowledge from this data. This paper's primary scientific contribution is the development of a social media data integration model, which is built on the framework of a data warehouse. The objective of this model is to mitigate the computational costs associated with data analysis while simultaneously facilitating the application of techniques aimed at uncovering meaningful insights.

Published Date: 2025-12-23;